Official GitHub presence for HyperLabs, a venture studio that co-founds and scales digital companies — Launch (GTM & growth), Build (product & AI), Transform (digital reengineering). We work with skin in the game: operating, technical and strategic capital, not only money.
Here you'll find two main types of repositories:
- Open source tools & SDKs, MIT-licensed and published to npm. These are the pieces we extracted from our own products because they were useful outside them.
- Product repositories, which back the platforms we build and operate. Most are private; access is granted to the team and to partners under an engagement.
If a repository's status is unclear, treat it as private product code and reach out before use.
Leer en español: README.es.md
Everything here is MIT and runs in production inside one of our products first.
| Repository | What it is |
|---|---|
| russell | A declarative language for conversational agents. Node topology, intent routing, per-node model & temperature, deterministic guards, escalation policy and persona — as versioned, portable JSON a runtime compiles and executes. No code, no redeploys. → russell-schema |
| hyperflow-sdk | HyperFlow's agent layer for any app. Google Ads audits, SEO, strategy and conversational commerce with live progress, sessions and guards in a few lines of TypeScript. → hyperflow-sdk |
| roz | An intelligence layer over engineering work: watches what happens on GitHub, documents it, routes it and notifies with context — autonomously. → roz-ops.vercel.app |
Issues and pull requests are welcome on these three. Read the repository's own README first — each one states the scope it accepts.
Not a library: a starting point. Install the skills you need and leave the rest.
| Repository | What it is |
|---|---|
| hyper-skills | Our skills for AI coding assistants (Claude Code, Cursor, …): multi-tenant backend architecture, SDK design, RAG and agent patterns, documentation, analytics integration. One folder per skill. |
npx skills add hyperlabs-ai/hyper-skillsThe platforms the studio builds and operates. Their repositories are private.
| Product | What it does |
|---|---|
| Orwel | End-to-end analytics and attribution: follows a visitor from the ad to the revenue, computes their profile and exposes everything over MCP. |
| HyperFlow | CRM with AI agents: prioritizes leads, drafts follow-ups, schedules, quotes and issues the CFDI. |
| TeamUp | AI candidate evaluation: stratified scoring, a single rubric and an interview guide. |
| Watersy | Online store for reverse-osmosis and water-treatment equipment: catalog, cart and checkout, on React and Vite. |
Every product ships with its own design system, taken from its code rather than from a preset — the tokens, the type scale and the composition rules live next to the product they belong to. The stack underneath is consistent: TypeScript, SvelteKit and Next.js, Postgres via Supabase, Vercel, and an AI layer built on retrieval and agents rather than on a single prompt.
Two rules survive every project: a readable artifact beats a diagram — a real commit, a real invoice, a passage with its provenance — and numbers are derived, never hand-written, so they don't lie when the data around them changes.
- Site — hyperlabs.vc
- Applications and partnerships — the form on the site
- Security or anything that shouldn't be public — open a private security advisory on the repository in question
Repositories not listed above are client engagements or work in progress. Ask before you build on them.
Este repositorio es la configuración de la organización. Cómo se publica y cómo se regenera el lockup: docs/MANTENIMIENTO.md.